@@ -7,12 +7,12 @@ About the Copyright Holders
77 led by Wes McKinney. AQR released the source under this license in 2009.
88* Copyright (c) 2011-2012, Lambda Foundry, Inc.
99
10- Wes is now an employee of Lambda Foundry, and remains the pandas project
10+ Wes became an employee of Lambda Foundry, and remained the pandas project
1111 lead.
1212* Copyright (c) 2011-2012, PyData Development Team
1313
1414 The PyData Development Team is the collection of developers of the PyData
15- project. This includes all of the PyData sub-projects, including pandas. The
15+ project. This includes all of the PyData sub-projects, such as pandas. The
1616 core team that coordinates development on GitHub can be found here:
1717 https://github.com/pydata .
1818
@@ -23,11 +23,11 @@ Our Copyright Policy
2323
2424PyData uses a shared copyright model. Each contributor maintains copyright
2525over their contributions to PyData. However, it is important to note that
26- these contributions are typically only changes to the repositories. Thus,
26+ these contributions are typically limited to changes to the repositories. Thus,
2727the PyData source code, in its entirety, is not the copyright of any single
2828person or institution. Instead, it is the collective copyright of the
2929entire PyData Development Team. If individual contributors want to maintain
30- a record of what changes/ contributions they have specific copyright on ,
30+ a record of the specific changes or contributions they hold copyright to ,
3131they should indicate their copyright in the commit message of the change
3232when they commit the change to one of the PyData repositories.
3333
@@ -50,7 +50,7 @@ Other licenses can be found in the LICENSES directory.
5050License
5151=======
5252
53- pandas is distributed under a 3-clause ("Simplified" or "New") BSD
53+ pandas is distributed under the 3-clause ("Simplified" or "New") BSD
5454license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have
55- BSD-compatible licenses, are included. Their licenses follow the pandas
55+ BSD-compatible licenses, are included. Their licenses are compatible with the pandas
5656license.
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